org.k2fsa.sherpa.onnx.runtime.osx-x64 1.10.35 

dotnet add package org.k2fsa.sherpa.onnx.runtime.osx-x64 --version 1.10.35                

                    
                

            
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.osx-x64 -Version 1.10.35
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="org.k2fsa.sherpa.onnx.runtime.osx-x64" Version="1.10.35" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add org.k2fsa.sherpa.onnx.runtime.osx-x64 --version 1.10.35                

                    
                

            
#r "nuget: org.k2fsa.sherpa.onnx.runtime.osx-x64, 1.10.35"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install org.k2fsa.sherpa.onnx.runtime.osx-x64 as a Cake Addin
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.10.35

// Install org.k2fsa.sherpa.onnx.runtime.osx-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.10.35

Introduction

sherpa-onnx is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team.

It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc.

It does not require Internet connection during recognition.

See the documentation https://k2-fsa.github.io/sherpa/onnx/index.html for details.

Please see https://github.com/k2-fsa/sherpa-onnx/tree/dot-net/dotnet-examples for how to use C# APIs of this package.

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

  • .NETFramework 2.0

    • No dependencies.

  • .NETFramework 3.5

    • No dependencies.

  • .NETFramework 4.0

    • No dependencies.

  • .NETFramework 4.5

    • No dependencies.

  • .NETStandard 2.0

    • No dependencies.

  • net6.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on org.k2fsa.sherpa.onnx.runtime.osx-x64:

Package Downloads
org.k2fsa.sherpa.onnx

sherpa-onnx is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team. It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc. It does not require Internet connection during recognition. See the documentation https://k2-fsa.github.io/sherpa/onnx/index.html for details.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.10.35 1,313 12/12/2024
1.10.34 227 12/11/2024
1.10.33 833 12/4/2024
1.10.32 843 11/26/2024
1.10.31 981 11/16/2024
1.10.30 1,975 10/27/2024
1.10.29 315 10/25/2024
1.10.28 1,201 10/13/2024
1.10.27 2,270 9/19/2024
1.10.26 596 9/14/2024
1.10.25 162 9/14/2024
1.10.24 242 9/13/2024
1.10.23 1,671 8/26/2024
1.10.22 1,730 8/19/2024
1.10.21 793 8/8/2024
1.10.20 416 7/29/2024
1.10.19 248 7/27/2024
1.10.17 660 7/20/2024
1.10.15 511 7/15/2024
1.10.14 281 7/13/2024
1.10.13 406 7/10/2024
1.10.12 225 7/9/2024
1.10.11 250 7/8/2024
1.10.9 333 7/6/2024
1.10.6 545 7/1/2024
1.10.5 393 6/27/2024
1.10.3 180 6/27/2024
1.10.2 305 6/25/2024
1.10.1 376 6/23/2024
1.10.0 1,770 6/18/2024
1.9.29 438 6/14/2024
1.9.28 251 6/12/2024
1.9.27 525 6/5/2024
1.9.26 488 5/30/2024
1.9.24 1,030 5/11/2024
1.9.23 748 4/26/2024
1.9.21 571 4/17/2024
1.9.16 633 4/5/2024
1.9.13 661 3/24/2024
1.9.12 497 3/19/2024
1.9.10 1,869 1/29/2024
1.9.7 850 1/11/2024
1.8.14 1,691 12/4/2023
1.8.10 931 11/16/2023
1.8.9 450 11/10/2023
1.8.8 467 11/7/2023
1.8.7 732 10/28/2023
1.8.6 467 10/26/2023
1.8.4 552 10/20/2023
1.8.2 444 10/18/2023
1.8.1 447 10/16/2023
1.7.21 1,188 9/24/2023
1.7.19 541 9/23/2023
1.7.18 388 9/22/2023
1.7.17 447 9/21/2023
1.7.16 432 9/21/2023
1.7.15 546 9/17/2023
1.7.14 570 9/14/2023
1.7.13 506 9/12/2023
1.7.12 642 9/7/2023
1.7.11 1,196 8/18/2023
1.7.10 403 8/18/2023
1.7.9 547 8/17/2023
1.7.8 556 8/16/2023
1.7.7 580 8/16/2023
1.7.6 586 8/14/2023
1.7.5 505 8/14/2023
1.7.4 440 8/14/2023
1.7.3 591 8/12/2023
1.7.2 569 8/11/2023
1.7.1 602 8/10/2023
1.7.0 583 8/9/2023
1.6.2 534 8/9/2023
1.5.4 956 7/21/2023
1.5.3 699 7/15/2023
1.5.2 456 7/14/2023
1.5.1 479 7/13/2023
1.5.0 586 7/9/2023
1.4.8 824 7/2/2023
1.4.6 680 6/27/2023
1.4.5 582 6/23/2023
1.4.4 806 6/8/2023
1.4.3 981 5/14/2023
1.4.2 590 5/8/2023
1.4.1 509 5/6/2023